Ontology Engineer

🕒 July 30

🇺🇸 United States – Remote

💵 $90k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HMH

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📚 Education

🛍️ eCommerce

Education • eCommerce • Professional Development

HMH is an educational company that specializes in providing comprehensive curriculum and assessment solutions across a wide spectrum of subjects. They offer programs and resources for literacy, mathematics, science, social studies, and social-emotional learning for K-12 students. Additionally, HMH focuses on professional development for educators to enhance instructional strategies and improve student outcomes.

📋 Description

• Develops and maintains logical, semantically rich, and extensible ontologies that define and structure knowledge and underpin the K-12 education domain and HMH products. • Supports integration between the ontology management system and source data management repositories, including triple store development and investigation by writing SPARQL queries. • Ensures the accuracy and consistency of ontological structures by performing regular quality checks and updates as needed. • Collaborates with cross-functional teams to understand their information needs and provide ontological solutions. • Creates comprehensive documentation for ontologies and knowledge graphs.

🎯 Requirements

• Advanced degree in philosophy, computer science, information science, or quantitative field, or equivalent experience. • Proficiency in ontology modeling languages such as RDF, OWL, or SHACL and vocabularies such as SKOS. • Familiarity with query languages like SQL and SPARQL or other property graph query languages like Gremlin, openCypher. • Experience with semantic data integration and using graph databases/triplestores. • Skilled in integrating multiple disparate data sets into a common vocabulary and writing effective queries for production environments. • Hands-on experience with high-level programming and scripting languages, such as Python, R, and Java. • Strong software engineering practices applied to semantic and analytics assets: git, pull requests/code review, test/validation practices.

🏖️ Benefits

• Health insurance • Professional development opportunities